查询扩展是解决信息获取领域中用词歧义性问题的关键技术,并被广泛应用于搜索引擎中,获得了巨

大的成功.然而,由于P2P(peer-to-peer)系统是一个分散的、动态的系统,在P2P 环境下进行有效的查询扩展具有

一定的挑战性.首先,利用查询与文档的关联关系构建了LEM(local expansion method)查询扩展方法 然后,基于

查询与文档用词的直接关联,提出了HEM(history_based expansion method)查询扩展方法.在此基础上,提出了一

种基于查询扩展的混合P2P 环境下的搜索算法.实验及分析结果表明,查询扩展及其搜索算法能够极大地提高

搜索的效果.-Query expansion is the area of information acquisition to resolve ambiguity in the wording of the key technologies, and widely used search engine, was a great success. However, as P2P (peer-to-peer) system is a decentralized, dynamic system, in the P2P environment for effective query expansion has certain challenges. First of all, the use of query and document relationship built LEM (local expansion method) and then query expansion method, based on the query terms and documents directly related to, put forward the HEM (history_based expansion method) methods of query expansion. On this basis, we proposed a query expansion based on a hybrid P2P search algorithm environment. Experiment and analysis results show that query expansion and its search algorithm can greatly improve the search results.